The mining industry is one of the oldest & most hazardous commercial sectors where the use and implementation of modern technology are very gradual. Mining companies utilize a plethora of expensive equipment in a high stakes & cost environment. In these cases, asset health is critical to the safety & profitability of the mine. This is where IoT-driven Predictive maintenance can be a gamechanger. It has the potential to collect and analyze environmental and equipment data instantaneously and conduct real-time risk and area evaluation. It reduces the risk of downtime & loss due t ..read more

As IoT grows synonymous with digital transformation & advancements in manufacturing, it has also led to a wave of change on the shop floor. This is a significant result of IT/OT Convergence, which led to faster decision-making, better collaboration, and a single source of truth across the organization. But what does the IT/OT Convergence do with IoT, though? How are IoT, Information Technology (IT), and Operational Technology (OT) connected? For starters, they have the same three letters appearing in some sequence in all three abbreviations, but what more do these three have in common ..read more

INTRODUCTION In one of its recent periodicals, Markets and Markets, a US-based techno-industrial research firm forecasted that the global edge computing market will grow from $2.8 billion in 2019 to $9 billion by 2024. Further, it also expects a consistent migration of 75% of the Internet-enabled devices into edge-computing devices. Indeed, edge computing is the most advanced technology in the engineering and processing industries, where IoT already has a strong foothold.   WHAT IS EDGE COMPUTING? Though the technology was first introduced in the late 1990s, with the revolution of th ..read more

Industry 4.0 continues to gain momentum across every industrial and manufacturing segment. This revolution is built upon three primary technologies: Big Data, Edge Computing and the Internet of Things (IoT). As the adoption of IoT devices continues to grow, many organizations are switching to edge technology because of its advantages over legacy cloud solutions. One of the key advantages of edge computing is real-time predictive maintenance. In a predictive analytics solution, Artificial Intelligence (AI) is combined with Business Intelligence (BI) to monitor the operating condition and predic ..read more

Digital Transformation or digitization is no longer just a hype or a concept but found a relevant place in every facet of business that wants to build a futuristic model. The advent of these disruptive technologies is proving to be a game-changer and driving a digital revolution in the industrial and manufacturing space. Conventional manufacturing industr Digital Transformation or digitization is no longer just a hype or a concept. It has found a pertinent place in every facet of business and companies who want to build futuristic business model. The advent of these disruptive technologies is ..read more

A recent survey conducted by Plant Maintenance Resource Centre confirms that there has been a 10X rise in the Root Cause Analysis carried by the Maintenance Professionals in an Industrial Plant. Further, the survey also reported that 60% of the industries used external consultants to assist with their Root Cause Analysis implementation.   For any engineering and processing industry, Root Cause Analysis (RCA) is an intensive process of investigating the source of the failure of equipment so that elimination of the cause ensures the consistent reliability and availability of the equipment ..read more

The Textile industry fulfills one of the basic needs of humankind and is centered on long-term value creation for its consumers. Though the textile industry is involved in converting fibers into yarn through various machinery, it frequently faces a setback in its manufacturing process, incurring an annual loss of 2.6%. For a fabric industry, profitability is a concurrent execution of efficiency and potency of the equipment. According to the recent survey conducted by the International Textile Manufacturers Federation, approximately 80% of the garment industries implement Total Preventive Maint ..read more

For any modern manufacturing and engineering industry complying with Industry 4.0, some of the most important requirements in the plant are streamlined data, machine learning, Predictive Analytics, Equipment monitoring, etc. The IoT Dashboard is a single platform to connect to all these gurus. The elaborations displayed on the IoT dashboard shifts the Maintenance strategy and is followed by the Production Chiefs, Reliability Managers, IT Heads, and Stakeholders. The Research study on Industry 4.0 confirms that approximately 80% of the industries understand the need to monitor their assets rem ..read more

An IoT device is a piece of hardware, such as sensors, that are programmed for certain applications and can transmit data over the network (Internet, Ethernet, Bluetooth, etc.). Such SMART Sensors can be integrated with other mobile devices, industrial equipment, environmental sensors, medical devices, etc.  What is the architecture of IoT devices?  At a high level, every remote monitoring IoT device has the following functionality- Data acquisition – Sensor captures the data Data Processing – Processing algorithms process the data for actionable insights, and  Data transfer ..read more

Industrial Diagnostic Service is a very niche capability that ensures efficient operation of equipment, safeguards human assets from operational hazards, and empowers a manufacturing process owner with apt insights into the equipment. A Diagnostic Service complimented with a Condition Monitoring System for Predictive Maintenance improves the availability and reliability of the equipment in the plant, thus combating major drawbacks of Preventive Maintenance. Recent Analysis suggests that the market for Predictive Maintenance applications is poised to grow from $2.2B in 2017 to $10.9B by 2022 ..read more